9 Result(s)
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Article
Open AccessPotential factors-embedding group recommendation for online education
Online education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member preference aggregation. However, potential factors such as t...
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Article
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., vi...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Determination of Focal Length for Targets Positioning with Binocular Stereo Vision
Targets positioning with binocular stereo vision has the potential of usage for surveillance on airdrome surface. This paper analyses the impact of focal length of a camera on the accuracy of positioning targe...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Improve Neural Network Using Saliency
In traditional neural networks for image classification, every input image pixel is treated the same way. However real human visual system tends pay more attention to what they really focus on. This paper prop...
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Shared Structure Learning for Multiple Tasks with Multiple Views
Real-world problems usually exhibit dual-heterogeneity, i.e., every task in the problem has features from multiple views, and multiple tasks are related with each other through one or more shared views. To sol...
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Chapter and Conference Paper
An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity
Epilepsy is the most common neurological disorder in the world, second only to stroke. There are nearly 15 million patients suffer from refractory epilepsy, with no available therapy. Although most seizures ar...
